Velocity structure of the methane hydrate formation at the Blake Outer Ridge

Size: px
Start display at page:

Download "Velocity structure of the methane hydrate formation at the Blake Outer Ridge"

Transcription

1 Stanford Exploration Project, Report 84, May 9, 2001, pages Velocity structure of the methane hydrate formation at the Blake Outer Ridge Christine Ecker 1 ABSTRACT Seismic analysis of data from the Blake Outer Ridge indicates the presence of hydratebearing sediments overlaying gas-saturated sediments in this region. In an attempt to determine possible lateral and vertical variations of the hydrate and gas sediments, I performed a 2-D velocity analysis along two approximately perpendicular seismic lines. Subsequent determination of the seafloor and BSR reflection coefficients along one of the lines resulted in additional zero offset P-wave velocity and density constraints. Combining these with the average interval velocity model of this line, I performed a 1-D elastic amplitude modeling of zero offset reflections using the Thompson-Haskell reflectivity method. The results suggest that regions showing a continuous bottom simulating reflection are characterized by a thick hydrate layer that has an average velocity of 2.1 km/s overlaying low-velocity ( 1.6 km/s) sediments of considerable thickness. This result agrees well with results discussed in SEP80. In regions of discontinuous BSR, a less pronounced velocity contrast is visible, probably indicating a decrease in the hydrate concentration of the sediments. INTRODUCTION Methane hydrate structures are increasingly recognized as being a potential future energy resource and as having a possible strong greenhouse effect on future global climate (Kvenvolden, 1993). Recent estimates showed that the amount of hydrocarbons present in hydrate structures is at least twice the amount of recoverable and non-recoverable fuels, such as oil and natural gas. Associated with the pressure-temperature dependent base of the hydrate stability zone are so-called bottom simulating reflectors (BSR). Depending on the origin of the methane necessary to form hydrate, the BSR might be the consequence of (1) hydrate-bearing sediments overlying gas saturated sediments (Kvenvolden and Barnard, 1983a) or of (2) sediments containing a substantial amount of high-velocity hydrate overlying normal velocity brine sediments (Hyndman and Davis, 1992). Possible free gas beneath the BSR might represent another important resource besides the hydrocarbons contained within the hydrate itself. A thorough understanding of the hydrate and BSR properties and characteristics is essential for a realistic evaluation of the potential impact of these hydrate formations. 1 christin@sep.stanford.edu 1

2 2 Ecker SEP 84 Recent studies of the hydrate structure at the Blake Outer Ridge, offshore Florida, strongly suggest a thick hydrate zone overlaying gas saturated sediments in this area (Kvenvolden and Barnard, 1983). Rowe and Gettrust (1993) analyzed deep-towed multichannel seismic data, estimating a P-wave velocity of over 2.0 km/s in a thick hydrate layer above the BSR and a low P-wave velocity of 1.4 km/s in a thin layer of gas-saturated sediments. Similar results were obtained by Wood et al. (?) through traveltime velocity analysis and acoustic waveform inversion and also by Katzman et al.(1994) who analysed wide-angle seismic data. Ecker and Lumley (1994) performed ray modeling using Zoeppritz equations and P- and S-impedance migration/inversion on data from the Blake Outer Ridge to determine the P- and S-wave velocity behavior locally at the BSR. We obtained a BSR model characterized by hydrate-bearing sediments of considerably high P-wave velocity overlaying low velocity gas saturated sediments. The ray modeling and the impedance estimates indicated considerable layer thicknesses of both the hydrate-bearing zone and the gas-saturated zone. This ongoing study is an attempt to explore the possible lateral and vertical variations of the methane hydrate formation at the Blake Outer Ridge. It should provide a better insight into the characteristics of the bottom simulating reflector and help to determine regions of high hydrate or gas concentration. In this paper, I present the velocity analysis, near-incidence amplitude modeling and interpretation of seismic data from the Blake Outer Ridge. Using NMO stacking velocity analysis and Dix s equation, I generate geologically reasonable interval velocity models along two approximately perpendicular seismic lines. The obtained velocity behavior is used to characterize regions of continuous and discontinuous BSR. Determining the seafloor and BSR reflection coefficients from multiple data, I obtain additional information about possible P- wave velocity and density behavior at the transition from hydrate-bearing sediments to the underlying sediments along one of the seismic lines. Subsequently, I combine the estimated interval velocities and reflection coefficients of this line in a 1-D full wave-equation modeling of zero-offset amplitudes using the Thompson-Haskell reflectivity method. This results in a P-wave velocity and density model that can successfully reproduce the zero-offset amplitudes of the structure. DATA DESCRIPTION The data used in this study were recorded along two nearly perpendicular lines at the Blake Outer Ridge, offshore Florida and Georgia. A precise location of the lines can be seen in Figure 1. The small rectangular boxes emphasize the parts of the lines used in this study. Both lines were acquired over deep water and in a region that is characterized by hydrate-bearing sediments. A stacked section of the data from line TD2 can be seen in Figure 2. The data contained approximately 600 shot points with a shot point interval of 50 meters. The northeast corner of the line is represented by midpoint 28, while the southwest corner is represented by midpoint 0. The stacked section displays a seafloor reflection at more than 4.5 seconds twoway traveltime, indicating a water depth of more than 3 kilometers. Between midpoint 17 and 28, a strong bottom simulating reflector parallels the seafloor at approximately 5.3 seconds

3 SEP 84 Methane hydrate TD Figure 1: Map of the Blake Outer Ridge area offshore Florida and Georgia, showing the location of the seismic lines 32 and TD2. The part of the lines used in this study are indicated by small rectangles. Map by Kvenvolden and Barnard (1983). christin2-map [NR] two-way traveltime. In a small section above this strong BSR there is a quiet zone where no diffractions or reflections are visible. This might be caused by the presence of disseminated methane hydrate in this region. The strong BSR continuity is abruptly terminated at midpoint 17, coinciding with an increase in the seafloor dip. Immediately above the endpoint of the BSR, the seafloor topography appears to roughen, manifesting a bump-like structure. A possible explanation might be a variation in the pressure-temperature regime of the hydrate stability zone, thus causing the gas trapped inside to be released at this seafloor location. For midpoints less than 16, the BSR is considerably discontinuous and weak. It might possibly be identified between midpoints 12 to 16, and midpoints 4 to 8 because of some transversing, sedimentary structure. Since the BSR is not a structural boundary but parallels the seafloor by following a pressure-temperature relation, sediments with a dip different than the seafloor s may cut across the bottom simulating reflectors. A stacked section of the part of line 32 used in this study can be seen in Figure 3. A more precise description of the data can be found in Ecker and Lumley (1993). The southeast corner of the line is represented by midpoint 0, while the northwest corner is represented by midpoint 10. As in line TD2, the seafloor reflection occurs at more than 4.4 seconds two-way traveltime, indicating a significant water depth. The section is characterized by a continuous, strong bottom simulating reflector at approximately 5.2 seconds two-way traveltime. Right above the BSR, there is a zone of amplitude blanking, possibly due to the presence of hydrate. A fairly bright reflection can be seen beneath the BSR, which is possibly indicative of the base of the gas-saturated sediments underlaying the hydrate (Ecker and Lumley, 1994). Even though there are some reflection signals visible

4 4 Ecker SEP 84 Figure 2: Stacked section of line TD2. christin2-stack-td2-ann [ER]

5 SEP 84 Methane hydrate 5 Figure 3: Stacked section of line 32. christin2-stack-ann [ER]

6 6 Ecker SEP 84 beneath the strong part of the BSR in the stacked section of line TD2 (Figure 2), there is no obvious evidence of a strong boundary between gas-saturated sediment and underlaying brine-saturated sediment along that line. VELOCITY ANALYSIS ON LINE TD2 In order to determine the lateral and vertical variations of the hydrate and the possible underlying gas-saturated sediments, I performed a 2-D velocity analysis along line TD2. Velocity analysis and preprocessing Prior to the velocity analysis, the data were preprocessed. I first applied a time-varying spherical divergence correction. Subsequently, I performed a single-trace predictive deconvolution to suppress a ringing in the data induced by airgun bubbles. The deconvolved data were then bandpass-filtered to their original bandwidth to remove spurious deconvolutional highfrequency noise. Afterwards, I performed NMO stacking analysis along the entire line. Since the structure in the area is rather simple and the water depth is more than 3 kilometers, conventional NMO stacking velocity analysis was sufficient to obtain good RMS velocities. After the velocity analysis, normal moveout calibration was applied to the data. An additional static shift was used to account for a small non-hyperbolic, offset-dependent residual moveout. Subsequently, I obtained the final stacked section which was shown in the previous section (Figure 2). Velocity analysis results Using Dix s equation, I converted the obtained RMS stacking velocities into a physical interval velocity model. The estimated model for the entire line can be seen in Figure 4. From midpoints 17 to 28, the model displays a significant increase in velocity up to approximately 1.95 km/s at 5.3 seconds two-way traveltime. Below 5.3 seconds traveltime, there seems to be a considerable velocity decrease to about 1.5 km/s. A slightly smaller velocity contrast is visible between midpoint 13 and 17. The velocity increases relatively quickly between midpoints 13 and 8, but there is no sharp velocity contrast visible from high to low velocity. For midpoints smaller than 8, the data are again characterized by a small low-velocity zone. However, it appears that the velocity does not decrease as much as previously, going down to only about 1.6 km/s. Simultaneously, the velocity increase above is not as pronounced, going up to about 1.85 km/s. The comparison between the stacked section and the interval velocity model is shown in Figure 5. It is obvious that the strong BSR between midpoints 17 and 20 coincides with the transition from significantly high P-wave velocity to considerably low velocity. This velocity behavior at the BSR supports the assumption of gas sediments underlying hydrate-bearing sediments in this region. The zone of a less pronounced velocity contrast between midpoints 13 and 17, and 4 and 8, seems to be associated with a possibly weak, discontinuous part of the BSR. The weak reflectivity of the BSR and the relatively smaller velocity contrast might

7 SEP 84 Methane hydrate 7 Figure 4: Interval velocity model for line TD2. christin2-vint-td2 [ER] Figure 5: Stacked section of line TD2 overlaying the interval velocity model. christin2-stack-td2-over-ann [ER]

8 8 Ecker SEP 84 suggest the presence of less hydrate and less free gas in this region or, possibly, a transition of a completely frozen hydrate state into a slightly more slushy state. Such behavior might be expected in the proximity of destabilization of the hydrate pressure-temperature regime. Between midpoints 8 and 13, the stacked section does not show any obvious reflection signals and there is no low-velocity zone visible in the data. An average interval velocity model of the region characterized by a BSR and the region showing no BSR at all can be seen in Figure 6. The strong BSR is clearly associated with a high P-wave velocity of approximately 1.95 km/s in the hydrate section and an average low P-wave velocity of about 1.65 km/s in the underlaying sediments. On the other hand, the region showing no BSR reflection is characterized by a gradual velocity increase. The velocity increase does not seem high enough to justify the presence of hydrate in this zone. Consequently, the pressure-temperature regime associated with the hydrate stability field might be destabilized in this region, causing the possible transformation of frozen methane hydrate into free gas that could be released through the sediments. Reestablishement of sufficient pressure-temperature conditions close to midpoint 8 might lead to the renewed stabilization of the hydrate. An other possibility might be the change of methane source conditions. In case of local methane generation from organic material, this would imply the absence of a methane source between midpoints 8 and 13. Velocity with BSR Velocity without BSR Time (sec) 4.8 BSR Time (sec) Velocity (km/s) Velocity (km/s) Figure 6: Averaged interval velocity model for the region without BSR and the region with BSR. christin2-veltd2 [NR]

9 SEP 84 Methane hydrate 9 VELOCITY ANALYSIS ON LINE 32 Following the 2-D velocity analysis on line TD2, I performed a similar analysis along line 32 to evaluate possible similarities in the behavior of the hydrate structure. Since line 32 is characterized by a continuous, strong BSR, I expect the velocity to show a velocity contrast comparable to the one observed along the BSR in line TD2. Velocity analysis and preprocessing Prior to the velocity analysis, I preprocessed the data similarly to those in line TD2. First, a time-varying spherical divergence correction was applied, which was followed by single-trace source wavelet deconvolution to regularize the source wavelet with offset. The deconvolved data were again bandpass filtered and subsequently used in a NMO stacking velocity analysis. Afterwards, a normal moveout correction was applied, as well as a careful amplitude calibration to reserve the true amplitude behavior. A more thorough description of the preprocessing steps can be found in Ecker and Lumley (1994; 1993). The stacked section of the data so processed can be seen in Figure 3. Velocity analysis results Using Dix s equations, I converted the RMS stacking velocities into a physical interval velocity model (Figure 7). The model shows a considerable velocity increase of approximately 1.95 to 2.0 km/s at around 5.2 seconds two-way traveltime along the entire line. The high velocity zone is underlain by a large zone of low P-wave velocity of approximately 1.6 km/s. Comparison of the velocity model with the stacked section (Figure 8) shows that the BSR is associated with the transition from high to low P-wave velocity. The strong increase in velocity above the BSR seems to parallel the upper boundary of the zone of amplitude blanking. This might be indicative of the presence of hydrate throughout a relatively large zone. It is also obvious that the flat reflector below the BSR seems to represent the bottom of the low-velocity zone underlaying the hydrate-bearing sediments. The considerable decrease in velocity suggests the presence of free gas in the layer, which agrees well with previous local results from this line (Ecker and Lumley, 1994). The velocity model appears to suggest the presence of free gas in the entire layer, in which case the flat reflector would be caused by the transition from gas-saturated sediment to brine-saturated sediment (Ecker and Lumley, 1994). The average velocity model along the line is shown in Figure 9. It is characterized by a significant increase in velocity above the BSR ( 1.95 km/s), and by a low-velocity zone of approximately 1.65 km/s below the BSR. A similar behavior could be observed in line TD2. However, contrary to line 32, line TD2 did not display such a strong reflection at the bottom of the low-velocity zone, possibly suggesting a more gradual velocity behavior there.

10 10 Ecker SEP 84 Figure 7: Interval velocity model for line 32. christin2-vint [ER] Figure 8: Stacked section of line 32 overlaying the interval velocity model. christin2-stack-over-ann [ER]

11 SEP 84 Methane hydrate Time (sec) 4.8 BSR Velocity (km/s) Figure 9: Averaged interval velocity model for line 32. christin2-vel32 [NR] Reflection coefficient In order to obtain additional information about the hydrate structure, I estimated the zero-offset seafloor and BSR reflection coefficient. These reflection coefficients will result in further constraints of the P-wave velocities and densities at the seafloor and the BSR. I estimated the reflection coefficients using the following relation by Warner (1990): R s f = A m A p (1) R BS R = A BS R A p R s f (2) where A P is the maximum near-offset seafloor amplitude, A m is the amplitude of the nearoffset seafloor multiple and A BS R is the maximum amplitude of the near-offset BSR. The seafloor reflection coefficient is represented by R s f, and the BSR reflection coefficient is represented by R BS R. The upper panel of Figure 10 shows a section of the near-offset seafloor and BSR amplitudes. The seafloor amplitude seems to stay approximately constant along the entire line, while the BSR amplitude appears to be characterized by some lateral variations. Between midpoints 1 and 3, the BSR reflection displays a significant decrease in amplitude compared to the remainder of the section. Picking the peak amplitudes along the seafloor and the BSR yields the amplitude trends shown in the lower panel of Figure 10. The average seafloor amplitude can be determined to approximately 1.05 ± 0.1. The BSR picks between

12 12 Ecker SEP 84 Figure 10: The upper panel shows a near-offset seismic section of line 32. The lower panel shows the amplitude picks from the seafloor reflection(left) and the BSR reflection(right). christin2-coef [ER]

13 SEP 84 Methane hydrate 13 midpoints 3 and 10 can be averaged to an amplitude of approximately -0.8 ± 0.2. Prior to midpoint 3, the BSR amplitude is subject to large variations. Using the averaged seafloor and BSR amplitudes, I estimated a seafloor reflection coefficient of approximately 0.17 ± 0.01 and a BSR reflection coefficient of ± This BSR reflection coefficient is only representative of the part of the line characterized by the large BSR reflectivity. Modeling In order to determine a preliminary P-wave and density model that can recreate the near-offset amplitudes of the structure, I combined the information given by the reflection coefficients and the average interval velocity model. After generating velocity and density models that are constrained by both pieces of information, I performed a 1-D elastic amplitude modeling of the near-offset traces using a Thompson-Haskell method. The resulting near-offset response was then compared with the amplitude response representative for the line. The BSR and seafloor reflection coefficients, estimated in the previous section, provided additional constraints to the average velocity model determined in the velocity analysis. Furthermore, they gave some insight into the possible density behavior at the transition from hydrate-bearing sediments to gas-saturated sediments. A velocity and density model that might explain the amplitudes in the original data is shown in Figure 11. In order to fulfill all constraints given, the P-wave velocity in the hydrate is required to increase to approximately 2.1 km/s. The thickness of the hydrate section seems to be about 80 meters. The hydrate is underlain by slow-velocity zone of 1.65 km/s and a thickness of approximately 300 meters. The density is required to stay approximately constant across the transition from hydrate to gas. This velocity behavior is strongly supported by results obtained through ray modeling and P- and S-impedance migration/inversion presented in SEP80 (Ecker and Lumley, 1994). The near-offset trace resulting from this model is compared with the near-offset amplitude behavior of the original data in Figure??. The original data trace is given as a solid line, while the modeled trace is displayed using a dashed line. It is obvious that the model could successfully recreate the seafloor amplitude, the BSR amplitude and the amplitude of the flat reflector. However, the model created some significant reflection amplitudes preceding the BSR reflection that were not present in the original data. This probably suggests the presence of a gradient velocity model rather than a blocky model. CONCLUSIONS A detailed 2-D velocity analysis was performed on two approximately perpendicular seismic lines from the Blake Outer Ridge, offshore Florida and Georgia. The inferred interval velocities clearly showed that regions of strong BSRs are characterized by a considerable increase in P-wave velocity in the hydrate-bearing sediments overlaying a low-velocity gas zone. Weaker BSR reflections seem to be associated with a similar, but slightly smaller velocity contrast. Loss in the BSR reflectivity and simultaneous decrease in the observed velocity contrast appeared to be related to changes in the temperature-pressure regime of the hydrate stability zone

14 14 Ecker SEP velocity density 3.4 Depth (km) 3.6 Hydrate 3.8 Gas Velocity (km/s) /Density (kg/ccm) Figure 11: Final P-wave velocity and density model. christin2-endvel [NR] Figure 12: Modeled near-offset trace compared with an original near-offset trace. The modeled trace is indicated by the dashed line. christin2-model-ann [NR]

15 SEP 84 Methane hydrate 15 or to the absence of a local methane source. Subsequent estimations of the BSR and seafloor reflection coefficients along line 32 resulted in additional constraints for the P-wave interval velocity and density in the vicinity of the BSR. Combination of both the reflection coefficient and average velocity information in a 1-D modeling approach showed that the hydrate zone of line 32 is characterized by a velocity of approximately 2.1 km/s and a thickness of 70 meters. It seems to overlay a 300 meter thick gas-saturated sediment zone with a velocity of 1.65 km/s. The density is required to stay approximately constant across the transition zone. This result agrees well with previous results obtained by Ecker and Lumley (1994). ACKNOWLEDGMENTS I would like to thank Myung Lee, Bill Dillon and Keith Kvenvolden from the USGS for providing me with the seismic section from the Blake Outer Ridge. I would also like to thank David Lumley for many helpful discussions and suggestions. Furthermore, I am grateful to Mark Van Schaack and Yizhaq Makovsky for their assistance in installing the PROMAX geometry. REFERENCES Ecker, C., and Lumley, D., 1993, AVO analysis of methane hydrate seismic data: SEP 79, Ecker, C., and Lumley, D. E., 1994, Seismic AVO analysis of methane hydrate structures: 64th Ann. Internat. Meeting, Soc. Expl. Geophys., Expanded Abstracts, Hyndman, R., and Davis, E., 1992, A mechanism for the formation of methane hydrate and seafloor bottom simulating reflectors by vertical fluid expulsion: J. Geophys. Res., 97, Katzman, R., Holbrook, W. S., and Paull, C. K., 1994, Combined vertical-incidence and wideangle seismic study of a gas hydrate zone, Blake Ridge: J. Geophys. Res., 99, Kvenvolden, K. A., and Barnard, L. A., 1983, Gas hydrates of the Blake Outer Ridge, Site 533, Deep Sea Drilling Project Leg 76: Initial Reports of the Deep Sea Drilling Project, 76, Kvenvolden, K. A., and Barnard, L. A., 1983a, Hydrates of natural gas in continental margins: Am. Assoc. Pet. Geol. Mem., 34, Kvenvolden, K., 1993, Gas hydrates geological perspective and global change: Review of Geophysics, 31,

16 16 Ecker SEP 84 Rowe, M. M., and Gettrust, J. F., 1993, Fine structure of methane hydrate-bearing sediments on the Blake Outer Ridge as determined from deep-tow multichannel seismic data: J. Geophys. Research, 98, Warner, M., 1990, Absolute reflection coefficients from deep seismic reflections: Tectonophysics, 173,

17 400 SEP 84

Methane hydrate rock physics models for the Blake Outer Ridge

Methane hydrate rock physics models for the Blake Outer Ridge Stanford Exploration Project, Report 80, May 15, 2001, pages 1 307 Methane hydrate rock physics models for the Blake Outer Ridge Christine Ecker 1 ABSTRACT Seismic analyses of methane hydrate data from

More information

Rock physics and AVO applications in gas hydrate exploration

Rock physics and AVO applications in gas hydrate exploration Rock physics and AVO applications in gas hydrate exploration ABSTRACT Yong Xu*, Satinder Chopra Core Lab Reservoir Technologies Division, 301,400-3rd Ave SW, Calgary, AB, T2P 4H2 yxu@corelab.ca Summary

More information

Downloaded 11/20/12 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 11/20/12 to Redistribution subject to SEG license or copyright; see Terms of Use at AVO crossplot analysis in unconsolidated sediments containing gas hydrate and free gas: Green Canyon 955, Gulf of Mexico Zijian Zhang* 1, Daniel R. McConnell 1, De-hua Han 2 1 Fugro GeoConsulting, Inc.,

More information

AVO inversion in V (x, z) media

AVO inversion in V (x, z) media Stanford Exploration Project, Report 97, July 8, 998, pages 75 94 AVO inversion in V (x, z) media Yalei Sun and Wenjie Dong keywords:.5-d Kirchhoff integral, AVO inversion, fluid-line section ABSTRACT

More information

Introduction. Theory. GEOHORIZONS December 2007/22. Summary

Introduction. Theory. GEOHORIZONS December 2007/22. Summary Seismic amplitude versus angle modeling of a bottom-simulating reflector Maheswar Ojha and Kalachand Sain National Geophysical Research Institute, Uppal Road, Hyderabad - 500 007, India * Corresponding

More information

Ultra high-resolution seismic and GPR imaging of permafrost. Devon Island, Nunavut

Ultra high-resolution seismic and GPR imaging of permafrost. Devon Island, Nunavut Ultra high-resolution seismic and GPR imaging of permafrost. Devon Island, Nunavut Carlos E. Nieto* and Robert R. Stewart CREWES. The University of Calgary, 2500 University Dr., N.W., Calgary, AB, T2N

More information

PART A: Short-answer questions (50%; each worth 2%)

PART A: Short-answer questions (50%; each worth 2%) PART A: Short-answer questions (50%; each worth 2%) Your answers should be brief (just a few words) and may be written on these pages if you wish. Remember to hand these pages in with your other exam pages!

More information

SEISMIC STRUCTURE, GAS-HYDRATE CONCENTRATIONS, AND SLUMPING ALONG THE IODP X311 TRANSECT ON THE N. CASCADIA MARGIN

SEISMIC STRUCTURE, GAS-HYDRATE CONCENTRATIONS, AND SLUMPING ALONG THE IODP X311 TRANSECT ON THE N. CASCADIA MARGIN Proceedings of the 6th International Conference on Gas Hydrates (ICGH 2008), Vancouver, British Columbia, CANADA, July 6-10, 2008. SEISMIC STRUCTURE, GAS-HYDRATE CONCENTRATIONS, AND SLUMPING ALONG THE

More information

P S-wave polarity reversal in angle domain common-image gathers

P S-wave polarity reversal in angle domain common-image gathers Stanford Exploration Project, Report 108, April 29, 2001, pages 1?? P S-wave polarity reversal in angle domain common-image gathers Daniel Rosales and James Rickett 1 ABSTRACT The change in the reflection

More information

Natural gas hydrates on the southeast U.S. margin:

Natural gas hydrates on the southeast U.S. margin: JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 102, NO. B7, PAGES 15,345-15,365, JULY 10, 1997 Natural gas hydrates on the southeast U.S. margin: Constraints from full waveform and travel time inversions of wide-angle

More information

We A10 12 Common Reflection Angle Migration Revealing the Complex Deformation Structure beneath Forearc Basin in the Nankai Trough

We A10 12 Common Reflection Angle Migration Revealing the Complex Deformation Structure beneath Forearc Basin in the Nankai Trough We A10 12 Common Reflection Angle Migration Revealing the Complex Deformation Structure beneath Forearc Basin in the Nankai Trough K. Shiraishi* (JAMSTEC), M. Robb (Emerson Paradigm), K. Hosgood (Emerson

More information

Geophysical Applications Seismic Reflection Processing

Geophysical Applications Seismic Reflection Processing Seismic reflection data are routinely acquired for multiple purposes such as exploration, mining, or engineering problems. The seismic data are generally acquired in shot-gathers, i.e. the data is sorted

More information

Walkaway Seismic Experiments: Stewart Gulch, Boise, Idaho

Walkaway Seismic Experiments: Stewart Gulch, Boise, Idaho Walkaway Seismic Experiments: Stewart Gulch, Boise, Idaho Lee M. Liberty Center for Geophysical Investigation of the Shallow Subsurface Boise State University Boise, Idaho 1. Summary CGISS conducted walkaway

More information

Rock Physics and Quantitative Wavelet Estimation. for Seismic Interpretation: Tertiary North Sea. R.W.Simm 1, S.Xu 2 and R.E.

Rock Physics and Quantitative Wavelet Estimation. for Seismic Interpretation: Tertiary North Sea. R.W.Simm 1, S.Xu 2 and R.E. Rock Physics and Quantitative Wavelet Estimation for Seismic Interpretation: Tertiary North Sea R.W.Simm 1, S.Xu 2 and R.E.White 2 1. Enterprise Oil plc, Grand Buildings, Trafalgar Square, London WC2N

More information

AVO Attributes of a Deep Coal Seam

AVO Attributes of a Deep Coal Seam AVO Attributes of a Deep Coal Seam Jinfeng Ma* State Key Laboratory of Continental Dynamics, Northwest University, China jinfengma@sohu.com Igor Morozov University of Saskatchewan, Saskatoon, SK, Canada

More information

J.A. Haugen* (StatoilHydro ASA), J. Mispel (StatoilHydro ASA) & B. Arntsen (NTNU)

J.A. Haugen* (StatoilHydro ASA), J. Mispel (StatoilHydro ASA) & B. Arntsen (NTNU) U008 Seismic Imaging Below "Dirty" Salt J.A. Haugen* (StatoilHydro ASA), J. Mispel (StatoilHydro ASA) & B. Arntsen (NTNU) SUMMARY Base and sub salt seismic imaging is still an unresolved issue. To solve

More information

S. Persoglia, J.M. Carcione, G. Rossi And D. Gei Istituto Nazionale di Oceanografia e di Geofisica OGS-, Trieste, Italy

S. Persoglia, J.M. Carcione, G. Rossi And D. Gei Istituto Nazionale di Oceanografia e di Geofisica OGS-, Trieste, Italy 4-D SEISMICS, GAS-HYDRATE DETECTION AND OVERPRESSURE PREDICTION AS A COMBINED METHODOLOGY FOR APPLICATION TO CO 2 SEQUESTRATION Combined seismic methods for CO 2 monitoring S. Persoglia, J.M. Carcione,

More information

Predicting Gas Hydrates Using Prestack Seismic Data in Deepwater Gulf of Mexico (JIP Projects)

Predicting Gas Hydrates Using Prestack Seismic Data in Deepwater Gulf of Mexico (JIP Projects) Predicting Gas Hydrates Using Prestack Seismic Data in Deepwater Gulf of Mexico (JIP Projects) Dianna Shelander 1, Jianchun Dai 2, George Bunge 1, Dan McConnell 3, Niranjan Banik 2 1 Schlumberger / DCS

More information

Seismic tests at Southern Ute Nation coal fire site

Seismic tests at Southern Ute Nation coal fire site Seismic tests at Southern Ute Nation coal fire site Sjoerd de Ridder and Seth S. Haines ABSTRACT We conducted a near surface seismic test at the Southern Ute Nation coal fire site near Durango, CO. The

More information

Deconvolution imaging condition for reverse-time migration

Deconvolution imaging condition for reverse-time migration Stanford Exploration Project, Report 112, November 11, 2002, pages 83 96 Deconvolution imaging condition for reverse-time migration Alejandro A. Valenciano and Biondo Biondi 1 ABSTRACT The reverse-time

More information

A Petroleum Geologist's Guide to Seismic Reflection

A Petroleum Geologist's Guide to Seismic Reflection A Petroleum Geologist's Guide to Seismic Reflection William Ashcroft WILEY-BLACKWELL A John Wiley & Sons, Ltd., Publication Contents Preface Acknowledgements xi xiii Part I Basic topics and 2D interpretation

More information

Amplitude preserving AMO from true amplitude DMO and inverse DMO

Amplitude preserving AMO from true amplitude DMO and inverse DMO Stanford Exploration Project, Report 84, May 9, 001, pages 1 167 Amplitude preserving AMO from true amplitude DMO and inverse DMO Nizar Chemingui and Biondo Biondi 1 ABSTRACT Starting from the definition

More information

Summary. Introduction

Summary. Introduction Detailed velocity model building in a carbonate karst zone and improving sub-karst images in the Gulf of Mexico Jun Cai*, Hao Xun, Li Li, Yang He, Zhiming Li, Shuqian Dong, Manhong Guo and Bin Wang, TGS

More information

A031 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance

A031 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance A31 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance A.M. Francis* (Earthworks Environment & Resources Ltd) & G.J. Hicks (Earthworks Environment & Resources Ltd)

More information

Stanford Exploration Project, Report 115, May 22, 2004, pages

Stanford Exploration Project, Report 115, May 22, 2004, pages Stanford Exploration Project, Report 115, May 22, 2004, pages 249 264 248 Stanford Exploration Project, Report 115, May 22, 2004, pages 249 264 First-order lateral interval velocity estimates without picking

More information

Elements of 3D Seismology Second Edition

Elements of 3D Seismology Second Edition Elements of 3D Seismology Second Edition Copyright c 1993-2003 All rights reserved Christopher L. Liner Department of Geosciences University of Tulsa August 14, 2003 For David and Samantha And to the memory

More information

VELOCITY REDUCTION - A POINT IN VELOCITY MODEL BUILDING FOR PRE-STACK KIRCHOFF DEPTH MIGRATION

VELOCITY REDUCTION - A POINT IN VELOCITY MODEL BUILDING FOR PRE-STACK KIRCHOFF DEPTH MIGRATION Physical Geography; Cartography; Geographic Information Systems & Spatial Planing VELOCITY REDUCTION - A POINT IN VELOCITY MODEL BUILDING FOR PRE-STACK KIRCHOFF DEPTH MIGRATION Dr. Maya Grigorova University

More information

New Frontier Advanced Multiclient Data Offshore Uruguay. Advanced data interpretation to empower your decision making in the upcoming bid round

New Frontier Advanced Multiclient Data Offshore Uruguay. Advanced data interpretation to empower your decision making in the upcoming bid round New Frontier Advanced Multiclient Data Offshore Uruguay Advanced data interpretation to empower your decision making in the upcoming bid round Multiclient data interpretation provides key deliverables

More information

Techniques for determining the structure and properties of permafrost

Techniques for determining the structure and properties of permafrost Stanford Exploration Project, Report 80, May 15, 2001, pages 1 404 Techniques for determining the structure and properties of permafrost Ray Abma 1 ABSTRACT Several methods for predicting the relationship

More information

AVO modeling and the locally converted shear wave

AVO modeling and the locally converted shear wave GEOPHYSICS, VOL. 59, NO. 9 (AUGUST 1994); P. 1237-1248, 11 FIGS., 4 TABLES. AVO modeling and the locally converted shear wave James L. Simmons, Jr.* and Milo M. Backus* ABSTRACT The locally converted shear

More information

TOM 2.6. SEG/Houston 2005 Annual Meeting 2581

TOM 2.6. SEG/Houston 2005 Annual Meeting 2581 Oz Yilmaz* and Jie Zhang, GeoTomo LLC, Houston, Texas; and Yan Shixin, PetroChina, Beijing, China Summary PetroChina conducted a multichannel large-offset 2-D seismic survey in the Yumen Oil Field, Northwest

More information

A Case Study on Simulation of Seismic Reflections for 4C Ocean Bottom Seismometer Data in Anisotropic Media Using Gas Hydrate Model

A Case Study on Simulation of Seismic Reflections for 4C Ocean Bottom Seismometer Data in Anisotropic Media Using Gas Hydrate Model A Case Study on Simulation of Seismic Reflections for 4C Ocean Bottom Seismometer Data in Anisotropic Media Using Gas Hydrate Model Summary P. Prasada Rao*, N. K. Thakur 1, Sanjeev Rajput 2 National Geophysical

More information

Imaging sharp lateral velocity gradients using scattered waves on dense arrays: faults and basin edges

Imaging sharp lateral velocity gradients using scattered waves on dense arrays: faults and basin edges 2017 SCEC Proposal Report #17133 Imaging sharp lateral velocity gradients using scattered waves on dense arrays: faults and basin edges Principal Investigator Zhongwen Zhan Seismological Laboratory, California

More information

Feasibility and design study of a multicomponent seismic survey: Upper Assam Basin

Feasibility and design study of a multicomponent seismic survey: Upper Assam Basin P-276 Summary Feasibility and design study of a multicomponent seismic survey: Upper Assam Basin K.L.Mandal*, R.K.Srivastava, S.Saha, Oil India Limited M.K.Sukla, Indian Institute of Technology, Kharagpur

More information

Case History. 3-D AVO analysis and modeling applied to fracture detection in coalbed methane reservoirs. Antonio C. B. Ramos and Thomas L.

Case History. 3-D AVO analysis and modeling applied to fracture detection in coalbed methane reservoirs. Antonio C. B. Ramos and Thomas L. GEOPHYSICS, VOL. 62, NO. 6 (NOVEMBER-DECEMBER 1997); P. 1683 1695, 23 FIGS., 1 TABLE. Case History 3-D AVO analysis and modeling applied to fracture detection in coalbed methane reservoirs Antonio C. B.

More information

Time-lapse seismic modelling for Pikes Peak field

Time-lapse seismic modelling for Pikes Peak field Time-lapse seismic modelling for Pikes Peak field Ying Zou*, Laurence R. Bentley and Laurence R. Lines University of Calgary, 2500 University Dr, NW, Calgary, AB, T2N 1N4 zou@geo.ucalgary.ca ABSTRACT Predicting

More information

Acoustic imaging of gas hydrate and free gas at the Storegga Slide

Acoustic imaging of gas hydrate and free gas at the Storegga Slide JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 109,, doi:10.1029/2003jb002863, 2004 Acoustic imaging of gas hydrate and free gas at the Storegga Slide Stefan Bünz and Jürgen Mienert Department of Geology, University

More information

The seismic response to strong vertical velocity change

The seismic response to strong vertical velocity change 10 th Biennial International Conference & Exposition P-073 The seismic response to strong vertical velocity change Ian F. Jones, ION GX Technology Summary Conventional seismic data processing, whether

More information

Reflection Seismic Method

Reflection Seismic Method Reflection Seismic Method Data and Image sort orders; Seismic Impedance; -D field acquisition geometries; CMP binning and fold; Resolution, Stacking charts; Normal Moveout and correction for it; Stacking;

More information

P066 Duplex Wave Migration for Coal-bed Methane Prediction

P066 Duplex Wave Migration for Coal-bed Methane Prediction P066 Duplex Wave Migration for Coal-bed Methane Prediction N. Marmalevskyi* (Ukrainian State Geological Prospecting Institute), A. Antsiferov (UkrNIMI), Z. Gornyak (Ukrainian State Geological Prospecting

More information

Rock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field

Rock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field Rock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field Downloaded 09/12/14 to 84.215.159.82. Redistribution subject to SEG license or copyright; see Terms of Use

More information

Interpretation of PP and PS seismic data from the Mackenzie Delta, N.W.T.

Interpretation of PP and PS seismic data from the Mackenzie Delta, N.W.T. Interpretation of PP and PS seismic data from the Mackenzie Delta, N.W.T. Carlos E. Nieto* CREWES. The University of Calgary nieto@geo.ucalgary.ca and Robert R. Stewart CREWES. The University of Calgary

More information

Key Words: seismic method, fractured reservoir, Larderello field ABSTRACT

Key Words: seismic method, fractured reservoir, Larderello field ABSTRACT CONTRIBUTION OF THE SEISMIC REFLECTION METHOD TO THE LOCATION OF DEEP FRACTURED LEVELS IN THE GEOTHERMAL FIELDS OF SOUTHERN TUSCANY (CENTRAL ITALY) Gian Mauro Cameli (1), Armando Ceccarelli (1), Ivano

More information

Improvement of stacking image by anisotropic velocity analysis using P-wave seismic data

Improvement of stacking image by anisotropic velocity analysis using P-wave seismic data P-46 Improvement of stacking image by anisotropic velocity analysis using P-wave seismic data Laxmidhar Behera*, and Prakash Khare, National Geophysical Research Institute (NGRI), Hyderabad Summary Anisotropy

More information

Comparative Study of Multi-channel and High Resolution Seismic data for Gas Hydrate Exploration in Krishna-Godavari basin, Bay of Bengal.

Comparative Study of Multi-channel and High Resolution Seismic data for Gas Hydrate Exploration in Krishna-Godavari basin, Bay of Bengal. Comparative Study of Multi-channel and High Resolution Seismic data for Gas Hydrate Exploration in Krishna-Godavari basin, Bay of Bengal. Pawan Dewangan Gas Hydrate Group National Institute of Oceanography,

More information

The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field

The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field P-305 The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field Summary V B Singh*, Mahendra Pratap, ONGC The objective of the modeling was to

More information

An Improved Dual Sensor Summation Method with Application to Four-Component (4-C) Seafloor Seismic Data from the Niger Delta

An Improved Dual Sensor Summation Method with Application to Four-Component (4-C) Seafloor Seismic Data from the Niger Delta Earth Science Research; Vol. 4, No. 2; 2015 ISSN 1927-0542 E-ISSN 1927-0550 Published by Canadian Center of Science and Education An Improved Dual Sensor Summation Method with Application to Four-Component

More information

Amplitude variation with offset AVO. and. Direct Hydrocarbon Indicators DHI. Reflection at vertical incidence. Reflection at oblique incidence

Amplitude variation with offset AVO. and. Direct Hydrocarbon Indicators DHI. Reflection at vertical incidence. Reflection at oblique incidence Amplitude variation with offset AVO and Direct Hydrocarbon Indicators DHI Reflection at vertical incidence Reflection coefficient R(p) c α 1 S wavespeed β 1 density ρ 1 α 2 S wavespeed β 2 density ρ 2

More information

Subsalt imaging by common-azimuth migration

Subsalt imaging by common-azimuth migration Stanford Exploration Project, Report 100, April 20, 1999, pages 113 125 Subsalt imaging by common-azimuth migration Biondo Biondi 1 keywords: migration, common-azimuth, wave-equation ABSTRACT The comparison

More information

Seismic interpretation of gas hydrate based on physical properties of sediments Summary Suitable gas hydrate occurrence environment Introduction

Seismic interpretation of gas hydrate based on physical properties of sediments Summary Suitable gas hydrate occurrence environment Introduction based on physical properties of sediments Zijian Zhang* 1,2 and De-hua Han 2 1 AOA Geophysics, Inc. and 2 Rock Physics Lab, University of Houston Summary This paper analyzes amplitude behavior of gas hydrate

More information

AVAZ inversion for fracture orientation and intensity: a physical modeling study

AVAZ inversion for fracture orientation and intensity: a physical modeling study AVAZ inversion for fracture orientation and intensity: a physical modeling study Faranak Mahmoudian*, Gary F. Margrave, and Joe Wong, University of Calgary. CREWES fmahmoud@ucalgary.ca Summary We present

More information

Shear wave statics in 3D-3C : An alternate approach

Shear wave statics in 3D-3C : An alternate approach P-157 C. B. Yadava*, M Singh, Kuldeep Prakash, Kunal Niyogi GEOPIC, Oil & Natural Gas Corporation Ltd, Dehradun Summary 3D-3C data was acquired in Sayan-Tadkeshwar area of Cambay basin to bring out sand

More information

Techniques in Exploration and Formation Evaluation for Gas Hydrates

Techniques in Exploration and Formation Evaluation for Gas Hydrates P - 177 Techniques in Exploration and Formation Evaluation for Gas Hydrates Ramesh Chandra Y* & Sanjay Surya Y, B.Tech Gas Engineering, 4 th Year, University of Petroleum and Energy Studies, Dehradun.

More information

Summary. Seismic Field Example

Summary. Seismic Field Example Water-saturation estimation from seismic and rock-property trends Zhengyun Zhou*, Fred J. Hilterman, Haitao Ren, Center for Applied Geosciences and Energy, University of Houston, Mritunjay Kumar, Dept.

More information

Velocity analysis using AB semblance a

Velocity analysis using AB semblance a Velocity analysis using AB semblance a a Published in Geophysical Prospecting, v. 57, 311-321 (2009) Sergey Fomel ABSTRACT I derive and analyze an explicit formula for a generalized semblance attribute,

More information

ZONGE GEOSCIENCES, INC.

ZONGE GEOSCIENCES, INC. ZONGE GEOSCIENCES, INC. GEOPHYSICAL INVESTIGATION REPORT 2D Seismic Reflection Survey Crump Geyser Geothermal Prospect Warner Valley, Oregon Prepared for: John Casteel District Geologist Nevada Geothermal

More information

Vertical and horizontal resolution considerations for a joint 3D CSEM and MT inversion

Vertical and horizontal resolution considerations for a joint 3D CSEM and MT inversion Antony PRICE*, Total E&P and Don WATTS, WesternGeco Electromagnetics Summary To further explore the potential data content and inherent limitations of a detailed 3D Controlled Source ElectroMagnetic and

More information

Downloaded 09/16/16 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 09/16/16 to Redistribution subject to SEG license or copyright; see Terms of Use at Ehsan Zabihi Naeini*, Ikon Science & Russell Exley, Summit Exploration & Production Ltd Summary Quantitative interpretation (QI) is an important part of successful Central North Sea exploration, appraisal

More information

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico Rock Physics for Fluid and Porosity Mapping in NE GoM JACK DVORKIN, Stanford University and Rock Solid Images TIM FASNACHT, Anadarko Petroleum Corporation RICHARD UDEN, MAGGIE SMITH, NAUM DERZHI, AND JOEL

More information

Sub Basalt Imaging Using Low Frequency Processing and Angle stack In Saurashtra Region, Western India

Sub Basalt Imaging Using Low Frequency Processing and Angle stack In Saurashtra Region, Western India 5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 90-94 Sub Basalt Imaging Using Low Frequency Processing and Angle stack In Saurashtra Region, Western India A.K.Sarkar & R.Mohan

More information

Matrix formulation of adjoint Kirchhoff datuming

Matrix formulation of adjoint Kirchhoff datuming Stanford Exploration Project, Report 80, May 15, 2001, pages 1 377 Matrix formulation of adjoint Kirchhoff datuming Dimitri Bevc 1 ABSTRACT I present the matrix formulation of Kirchhoff wave equation datuming

More information

Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History

Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History 5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 375-379 Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History D. Srinivas, T.R. Murali Mohan, Ashwani Lamba,

More information

Monitoring CO 2 Injection at Weyburn Reservoir Using 3-D/3-C Seismic Datasets

Monitoring CO 2 Injection at Weyburn Reservoir Using 3-D/3-C Seismic Datasets Monitoring CO 2 Injection at Weyburn Reservoir Using 3-D/3-C Seismic Datasets Le Gao* and Igor Morozov, University of Saskatchewan, Saskatoon, Saskatchewan le.gao@usask.ca Summary In order to monitor and

More information

ANGLE-DEPENDENT TOMOSTATICS. Abstract

ANGLE-DEPENDENT TOMOSTATICS. Abstract ANGLE-DEPENDENT TOMOSTATICS Lindsay M. Mayer, Kansas Geological Survey, University of Kansas, Lawrence, KS Richard D. Miller, Kansas Geological Survey, University of Kansas, Lawrence, KS Julian Ivanov,

More information

Shallow P and S velocity structure, Red Deer, Alberta

Shallow P and S velocity structure, Red Deer, Alberta Shallow P and S velocity structure, Red Deer, Alberta P & S velocity structure Don C. Lawton, Meredith A. McArthur, Rachel T. Newrick and Sarah E. Trend ABSTRACT A multioffset vertical seismic profile

More information

Chapter 7: Reflection Seismology Homework Solutions (Jan. 2010)

Chapter 7: Reflection Seismology Homework Solutions (Jan. 2010) Chapter 7: eflection Seismology Homework Solutions (Jan. 200). Why do marine seismic reflection surveys not record (a) S waves? (b) refracted rays? 2 μ a) For ideal fluid, μ=0, thus, v s = = 0 ρ b) eflection

More information

Delineation of tectonic features offshore Trinidad using 3-D seismic coherence

Delineation of tectonic features offshore Trinidad using 3-D seismic coherence CORNER INTERPRETER S Coordinated by llen ertagne Delineation of tectonic features offshore Trinidad using 3-D seismic coherence DM GERSZTENKORN, Tulsa, Oklahoma, U.S. JOHN SHRP, P moco, Houston, Texas,

More information

Abstract: Introduction

Abstract: Introduction AVO and Seismic Waveform Inversion in the Plane Wave Domain: Application to Gas Hydrate Data Mrinal K.Sen, Paul L. Stoffa, and Ganyuan Xia Institute for Geophysics The University of Texas at Austin 4412

More information

Rock physics of a gas hydrate reservoir. Gas hydrates are solids composed of a hydrogen-bonded ROUND TABLE

Rock physics of a gas hydrate reservoir. Gas hydrates are solids composed of a hydrogen-bonded ROUND TABLE ROUND TABLE Rock physics of a gas hydrate reservoir JACK DVORKIN and AMOS NUR, Stanford University, California, U.S. RICHARD UDEN and TURHAN TANER, Rock Solid Images, Houston, Texas, U.S. Gas hydrates

More information

Figure 1. P wave speed, Vp, S wave speed, Vs, and density, ρ, for the different layers of Ostrander s gas sand model shown in SI units.

Figure 1. P wave speed, Vp, S wave speed, Vs, and density, ρ, for the different layers of Ostrander s gas sand model shown in SI units. Ambiguity in Resolving the Elastic Parameters of Gas Sands from Wide-Angle AVO Andrew J. Calvert - Simon Fraser University and David F. Aldridge - Sandia National Laboratories Summary We investigate the

More information

Estimating a pseudounitary operator for velocity-stack inversion

Estimating a pseudounitary operator for velocity-stack inversion Stanford Exploration Project, Report 82, May 11, 2001, pages 1 77 Estimating a pseudounitary operator for velocity-stack inversion David E. Lumley 1 ABSTRACT I estimate a pseudounitary operator for enhancing

More information

Investigating fault shadows in a normally faulted geology

Investigating fault shadows in a normally faulted geology Investigating fault shadows in a normally faulted geology Sitamai Ajiduah* and Gary Margrave CREWES, University of Calgary, sajiduah@ucalgary.ca Summary Fault shadow poses a potential development risk

More information

Prestack amplitude analysis methodology and application to seismic bright spots in the PO Valley, Italy

Prestack amplitude analysis methodology and application to seismic bright spots in the PO Valley, Italy GEOPHYSICS. VOL. 55. NO. 2 (FEBRUARY 1990); P. 157-166, 14 FIGS Prestack amplitude analysis methodology and application to seismic bright spots in the PO Valley, Italy Alfred0 Mazzotti* ABSTRACT The amplitude-versus-offset

More information

Azimuthal Velocity Analysis of 3D Seismic for Fractures: Altoment-Bluebell Field

Azimuthal Velocity Analysis of 3D Seismic for Fractures: Altoment-Bluebell Field Azimuthal Velocity Analysis of 3D Seismic for Fractures: Altoment-Bluebell Field Khaled Al Dulaijan and Gary F. Margrave CREWES Summary The 3D seismic data was acquired within Bluebell Field, the eastern

More information

Geo-scientific Studies on Methane Gas Hydrates. Osamu MATSUBAYASHI Institute for Geo-Resources and Environment, Geological Survey of Japan, AIST

Geo-scientific Studies on Methane Gas Hydrates. Osamu MATSUBAYASHI Institute for Geo-Resources and Environment, Geological Survey of Japan, AIST [METHANE HYDRATE] Geo-scientific Studies on Methane Gas Hydrates Osamu MATSUBAYASHI Institute for Geo-Resources and Environment, Geological Survey of Japan, AIST Abstract It has become recognized that

More information

Keywords. PMR, Reservoir Characterization, EEI, LR

Keywords. PMR, Reservoir Characterization, EEI, LR Enhancing the Reservoir Characterization Experience through Post Migration Reprocessed (PMR) Data A case study Indrajit Das*, Ashish Kumar Singh, Shakuntala Mangal, Reliance Industries Limited, Mumbai

More information

Impact of Surface Consistent Deconvolution on Wavelet Stability and Seismic Attributes: A Case Study

Impact of Surface Consistent Deconvolution on Wavelet Stability and Seismic Attributes: A Case Study Impact of Surface Consistent Deconvolution on Wavelet Stability and Seismic Attributes: A Case Study Summary: Anand Prakash, V. Singh, U.C.Saxena & Gautam Sen GEOPIC, Oil and Natural Gas Corporation Ltd.,

More information

The i-stats: An Image-Based Effective-Medium Modeling of Near-Surface Anomalies Oz Yilmaz*, GeoTomo LLC, Houston, TX

The i-stats: An Image-Based Effective-Medium Modeling of Near-Surface Anomalies Oz Yilmaz*, GeoTomo LLC, Houston, TX The i-stats: An Image-Based Effective-Medium Modeling of Near-Surface Anomalies Oz Yilmaz*, GeoTomo LLC, Houston, TX Summary Near-surface modeling for statics corrections is an integral part of a land

More information

SEISMIC INVESTIGATION OF UNDERGROUND COAL FIRES; A FEASIBILITY STUDY AT THE SOUTHERN UTE NATION COAL FIRE SITE, DURANGO, COLORADO.

SEISMIC INVESTIGATION OF UNDERGROUND COAL FIRES; A FEASIBILITY STUDY AT THE SOUTHERN UTE NATION COAL FIRE SITE, DURANGO, COLORADO. SEISMIC INVESTIGATION OF UNDERGROUND COAL FIRES; A FEASIBILITY STUDY AT THE SOUTHERN UTE NATION COAL FIRE SITE, DURANGO, COLORADO Sjoerd de Ridder, Department of Geophysics, Stanford University. Nigel

More information

RC 1.3. SEG/Houston 2005 Annual Meeting 1307

RC 1.3. SEG/Houston 2005 Annual Meeting 1307 from seismic AVO Xin-Gong Li,University of Houston and IntSeis Inc, De-Hua Han, and Jiajin Liu, University of Houston Donn McGuire, Anadarko Petroleum Corp Summary A new inversion method is tested to directly

More information

ERTH2020 Introduction to Geophysics The Seismic Method. 1. Basic Concepts in Seismology. 1.1 Seismic Wave Types

ERTH2020 Introduction to Geophysics The Seismic Method. 1. Basic Concepts in Seismology. 1.1 Seismic Wave Types ERTH2020 Introduction to Geophysics The Seismic Method 1. Basic Concepts in Seismology 1.1 Seismic Wave Types Existence of different wave types The existence of different seismic wave types can be understood

More information

Shaly Sand Rock Physics Analysis and Seismic Inversion Implication

Shaly Sand Rock Physics Analysis and Seismic Inversion Implication Shaly Sand Rock Physics Analysis and Seismic Inversion Implication Adi Widyantoro (IkonScience), Matthew Saul (IkonScience/UWA) Rock physics analysis of reservoir elastic properties often assumes homogeneity

More information

Stacking and Interval Velocities in a Medium with Laterally Inhomogeneous Layers

Stacking and Interval Velocities in a Medium with Laterally Inhomogeneous Layers Stacking and Interval Velocities in a Medium with Laterally Inhomogeneous Layers E. Blias* Revolution Geoservices, 110, 733-14 Ave SW, Calgary, AB, TR 0N3 emilb@shaw.ca ABSTRACT Depth velocity models are

More information

Pluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO*

Pluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO* Pluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO* *This paper has been submitted to the EAGE for presentation at the June 2001 EAGE meeting. SUMMARY

More information

Satish Singh* (IPG Paris, France, Tim Sears (British Gas, UK), Mark Roberts (IPG Paris, Summary. Introduction P - 92

Satish Singh* (IPG Paris, France, Tim Sears (British Gas, UK), Mark Roberts (IPG Paris, Summary. Introduction P - 92 P - 92 Fine-Scale P- and S-Wave Velocities From Elastic Full Waveform Inversion of Multi-Component and Time-Lapse Data: Future of Quantitative Seismic Imaging Satish Singh* (IPG Paris, France, singh@ipgp.jussieu.fr),

More information

Seismic anisotropy in coal beds David Gray Veritas, Calgary, Canada

Seismic anisotropy in coal beds David Gray Veritas, Calgary, Canada Seismic anisotropy in coal beds David Gray Veritas, Calgary, Canada Dave_Gray@veritasdgc.com Summary Methods of measuring seismic azimuthal anisotropy are being used increasingly to detect fractures in

More information

SeisLink Velocity. Key Technologies. Time-to-Depth Conversion

SeisLink Velocity. Key Technologies. Time-to-Depth Conversion Velocity Calibrated Seismic Imaging and Interpretation Accurate Solution for Prospect Depth, Size & Geometry Accurate Time-to-Depth Conversion was founded to provide geologically feasible solutions for

More information

Enhancing Sub Basalt Imaging Using Depth Domain Processing

Enhancing Sub Basalt Imaging Using Depth Domain Processing Enhancing Sub Basalt Imaging Using Depth Domain Processing A.K.Sarkar*, P.V.Rao, S.Panigrahi and S.R.M.Karnawat Regional Computer Centre, ONGC, Vadodara, India E-mail:sarkararun@hotmail.com Summary Processing

More information

Hydrogeophysics - Seismics

Hydrogeophysics - Seismics Hydrogeophysics - Seismics Matthias Zillmer EOST-ULP p. 1 Table of contents SH polarized shear waves: Seismic source Case study: porosity of an aquifer Seismic velocities for porous media: The Frenkel-Biot-Gassmann

More information

Vollständige Inversion seismischer Wellenfelder - Erderkundung im oberflächennahen Bereich

Vollständige Inversion seismischer Wellenfelder - Erderkundung im oberflächennahen Bereich Seminar des FA Ultraschallprüfung Vortrag 1 More info about this article: http://www.ndt.net/?id=20944 Vollständige Inversion seismischer Wellenfelder - Erderkundung im oberflächennahen Bereich Thomas

More information

Shot-profile migration of multiple reflections

Shot-profile migration of multiple reflections Stanford Exploration Project, Report 111, June 10, 2002, pages?? 33 Shot-profile migration of multiple reflections Antoine Guitton 1 ABSTRACT A shot-profile migration algorithm is modified to image multiple

More information

Natural gas hydrates on the continental slope off Pakistan: constraints from seismic techniques

Natural gas hydrates on the continental slope off Pakistan: constraints from seismic techniques Geophys. J. Int. (2000) 140, 295 310 Natural gas hydrates on the continental slope off Pakistan: constraints from seismic techniques Ingo Grevemeyer,* Andreas Rosenberger and Heinrich Villinger Fachbereich

More information

Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction

Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction 5th Conference & Exposition on Petroleum Geophysics, Hyderabad-004, India PP 498-50 Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction Y. Hanumantha Rao & A.K.

More information

Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains

Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains Frequency-dependent AVO attribute: theory and example Xiaoyang Wu, 1* Mark Chapman 1,2 and Xiang-Yang Li 1 1 Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains Road, Edinburgh

More information

OTC OTC PP. Abstract

OTC OTC PP. Abstract OTC OTC-19977-PP Using Modern Geophysical Technology to Explore for Bypassed Opportunities in the Gulf of Mexico R.A. Young/eSeis; W.G. Holt, G. Klefstad/ Fairways Offshore Exploration Copyright 2009,

More information

Structure-constrained relative acoustic impedance using stratigraphic coordinates a

Structure-constrained relative acoustic impedance using stratigraphic coordinates a Structure-constrained relative acoustic impedance using stratigraphic coordinates a a Published in Geophysics, 80, no. 3, A63-A67 (2015) Parvaneh Karimi ABSTRACT Acoustic impedance inversion involves conversion

More information

Residual Statics using CSP gathers

Residual Statics using CSP gathers Residual Statics using CSP gathers Xinxiang Li and John C. Bancroft ABSTRACT All the conventional methods for residual statics analysis require normal moveout (NMO) correction applied on the seismic data.

More information

Numerical modelling: The governing equation used in this study is: (K T ) c T H 0,

Numerical modelling: The governing equation used in this study is: (K T ) c T H 0, GSA DATA REPOSITORY 2012254 Cozzens and Spinelli Numerical modelling: The governing equation used in this study is: (K T ) c T H 0, where K is thermal conductivity, T is temperature, ρ is density, c is

More information

Predrill pore-pressure prediction using seismic data

Predrill pore-pressure prediction using seismic data GEOPHYSICS, VOL. 67, NO. 4 (JULY-AUGUST 2002); P. 1286 1292, 11 FIGS. 10.1190/1.1500391 Predrill pore-pressure prediction using seismic data C. M. Sayers, G. M. Johnson, and G. Denyer ABSTRACT A predrill

More information

Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea

Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea P. Alvarez (RSI), F. Marcy (ENGIE E&P), M. Vrijlandt (ENGIE E&P), K. Nichols (RSI), F. Bolivar (RSI),

More information